CII Cloud Summit

CII Cloud Summit www.telecomlive.com 35 TelecomLIVE September 2024 powerful enabler, but organiza- tions need to ensure they have the right data in the right context. This way, any AI tool can effectively leverage the data and lead to accu- rate conclusions. Once cloud and data are in place, AI can be applied in various sectors. For example, in healthcare, AI can analyze medical reports and diag- nostics to predict illnesses and improve treatment quality. In retail, AI can optimize inventory levels and improve inventory turn- over. While data privacy concerns have been addressed, the ethics of AI remains a significant topic. This is the next big challenge we need to tackle. Technology acts as the enabler, with data and cloud serving as the foundation for AI. AI, in turn, will drive business innovation, making companies more competitive through the use of digital tools. Be cautious about what you share, as it may come back to affect you, regardless of the infrastructure or technology Monojit Mazumdar, Deloitte India For the first time in our history of innovation, we have a technology that might not follow the usual path. It has the potential towork for us and, at some point, enhance our capabilities, making it a fascinating topic to explore. The initial stage involves AI as an assistant, providing all the neces- sary information to help you per- form your job. For example, try using the new blue sign feature in WhatsApp to ask questions. Unlike Google, these responses feel more like conversing with a human. To support this, a vast infrastructure has been built, leveraging learnings to create extensive data. It uses the LLM model 3 and continuously answers queries worldwide, learn- ing from individual personas. This cloud-powered algorithm is not just a simple program; it adapts to your style, almost like someone listening and adjusting to you in real-time. This requires an infra- structure that can continuously improve and process information, something beyond the capacity of traditional data centers. In stage 2, AI will evolve into your co-worker. This transforma- tion will first impact customer service and human interactions. In countries like India, this shift will revolutionize manufacturing, leveraging sensor and device data to optimize machinery and signifi- cantly enhance factory efficiency. From an infrastructure perspec- tive, this will require substantial integration between machine data and cloud data. Immediate deci- sions will be made using real-time data, while long-term strategies will utilize what is known as the data OPR ecosystem. This involves processing vast amounts of infor- mation quickly for both immediate and industrial decision-making. Eventually, AI will progress to stage 3, becoming your coach. Unlike a co-worker, who assists and enables, a coach provides advice to improve performance. If the advice is incorrect, it won't lead to improvement. At this stage, systems must be highly aware of how they interact with users, ensuring that advice evolves over time and is not perceived as abso- lute truth. At this stage, the responsibility of the cloud and infrastructure systemwill be significantly greater. It must not only function effectively but also discern between right and wrong. In stage 4, AI acts as a guardian, making decisions to guide us towards the right actions and prevent us frommaking wrong ones. The infrastructure will serve as a guidebook, helping us navigate safely, much like avoiding danger- ous areas in a city. We will observe how this evolves over time. The current version of AI is the most basic we will encounter. This technology continuously learns, improves, relearns and further enhances itself, often at our expense. Therefore, regardless of the infrastructure or technology, it is crucial to be cautious about what you share, as it may come back to affect you. likely necessitate on-premises infrastructure aswell. In today's multi-cloud environ- ment, it's crucial to protect your data as it moves across different platforms. Backups are your most vital tool for recovering from ransomware attacks. Our study indicates that 95% of ransomware attacks target backup data. There- fore, having a secure backup is essential for data recovery. Ra n s omwa r e a t t a c k s a r e expected to continue escalating and becoming more sophisticated. By empowering your team and rein- forcing cybersecurity measures, including immutable backups, your organization can safeguard its valuable data. Key strategies include implementing a zero-trust model, using immutable data cop- ies and maintaining an air-gapped repository. These are critical steps we advocate for transformative initiatives. Additionally, leveraging data intelligence is essential to ensure comprehensive data protec- tion. Democratization of AI has opened up unimaginable pos- sibilities for change Madhav Singhania, J KCement Limited Cloud computing has indeed transformed many aspects of tech- nology over the years. One of its key contributions is the democratiza- t ion of access to comput ing resources, which were once limited to large corporations with their own infrastructure. Now, startups, research institutions, and individ- ual developers worldwide can access these resources. Similarly, the democratization of data has enabled widespread data con- sumption and the democratization of AI has opened up unimaginable possibilities for change. Cost- efficiency and scalability are other major benefits of cloud computing, along with fostering collaboration and breaking down silos. Cloud computing has achieved so much, including centralizing data. Tomake AI successful, having the right data is crucial. AI can be a